AIMC Topic: Cerebral Arteries

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Gap-free segmentation of vascular networks with automatic image processing pipeline.

Computers in biology and medicine
Current image processing techniques capture large vessels reliably but often fail to preserve connectivity in bifurcations and small vessels. Imaging artifacts and noise can create gaps and discontinuity of intensity that hinders segmentation of vasc...

Support vector machine classification of arterial volume-weighted arterial spin tagging images.

Brain and behavior
INTRODUCTION: In recent years, machine-learning techniques have gained growing popularity in medical image analysis. Temporal brain-state classification is one of the major applications of machine-learning techniques in functional magnetic resonance ...

Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction.

Journal of integrative neuroscience
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative reconstruc...

Soft robotic steerable microcatheter for the endovascular treatment of cerebral disorders.

Science robotics
Catheters used for endovascular navigation in interventional procedures lack dexterity at the distal tip. Neurointerventionists, in particular, encounter challenges in up to 25% of aneurysm cases largely due to the inability to steer and navigate the...